• Documents
  • Authors
  • Tables
  • Log in
  • Sign up
  • MetaCart
  • DMCA
  • Donate

CiteSeerX logo

Tools

Sorted by:
Try your query at:
Semantic Scholar Scholar Academic
Google Bing DBLP
Results 1 - 10 of 217
Next 10 →

Whom You Know Matters: Venture Capital Networks and Investment Performance,

by Yael Hochberg , Alexander Ljungqvist , Yang Lu , Steve Drucker , Jan Eberly , Eric Green , Yaniv Grinstein , Josh Lerner , Laura Lindsey , Max Maksimovic , Roni Michaely , Maureen O'hara , Ludo Phalippou Mitch Petersen , Jesper Sorensen , Per Strömberg Morten Sorensen , Yael Hochberg , Johnson - Journal of Finance , 2007
"... Abstract Many financial markets are characterized by strong relationships and networks, rather than arm's-length, spot-market transactions. We examine the performance consequences of this organizational choice in the context of relationships established when VCs syndicate portfolio company inv ..."
Abstract - Cited by 138 (8 self) - Add to MetaCart
investments, using a comprehensive sample of U.S. based VCs over the period 1980 to 2003. VC funds whose parent firms enjoy more influential network positions have significantly better performance, as measured by the proportion of portfolio company investments that are successfully exited through an initial

DeepOrgan: Multi-level Deep Convolutional Networks for Automated Pancreas Segmentation

by Holger R. Roth, Le Lu, Amal Farag, Hoo-chang Shin, Jiamin Liu, Evrim B. Turkbey, Ronald M. Summers
"... Abstract. Automatic organ segmentation is an important yet challeng-ing problem for medical image analysis. The pancreas is an abdominal organ with very high anatomical variability. This inhibits previous seg-mentation methods from achieving high accuracies, especially compared to other organs such ..."
Abstract - Add to MetaCart
at different scales of contexts in a “zoom-out ” fashion. Our ConvNets learn to assign class probabilities for each superpixel region of being pancreas. Last, we study a stacked R2−ConvNet leveraging the joint space of CT intensities and the P−ConvNet dense probability maps. Both 3D Gaus-sian smoothing and 2D

Enhancing community detection using a network weighting strategy

by Pasquale De Meo A, Emilio Ferrara B, Giacomo Fiumara A, Ro Provetti A
"... ar ..."
Abstract - Add to MetaCart
Abstract not found

Screening masses in thermal and dense medium

by A. Tawfik , 2006
"... Screening masses of different hadronic states are studied in thermal and dense medium on lattice. It has been found that screening masses increase with the temperature. In deconfinement phase, chemical potential enhances the screening masses. We use the normalization with respect to lowest Matsubara ..."
Abstract - Add to MetaCart
, at which hadronic bound states dissolve into free quarks. In this limit, screening mass does not depend on parent bound states. At very high temperatures, one would expect a universal line of screening masses from different hadronic states, mD = lπTa = lπ/Nτ, where a is lattice spacing, Nτ is the time

Network science Complex network Community detection

by Pasquale De Meo A, Emilio Ferrara B, Giacomo Fiumara A, Ro Provetti A
"... This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or sel ..."
Abstract - Add to MetaCart
This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution

GAUSSIAN NETWORKS

by J. N. Laneman, V. Gupta Co-director
"... by Utsaw Kumar The presence of inexpensive and powerful sensing and communication devices has made it possible to deploy large scale distributed systems for a variety of applications. Interactions among different components of such a system include communication of information and controlling dynami ..."
Abstract - Add to MetaCart
and control performance over noisy forward links. Such feedback can considerably increase the reliability or reduce the complexity of coding schemes that approach capacity. Moreover, transmission schemes with feedback can be used to stabilize unstable plants over communication channels, where a sensor

Deep and wide multiscale recursive networks for robust image labeling

by Gary B. Huang, Viren Jain - In International Conference on Learning Representations , 2014
"... Feedforward multilayer networks trained by supervised learning have recently demonstrated state of the art performance on image labeling problems such as boundary prediction and scene parsing. As even very low error rates can limit practical usage of such systems, methods that perform closer to huma ..."
Abstract - Cited by 9 (3 self) - Add to MetaCart
that improves segmentation accuracy. Experiments in the challenging domain of connectomic reconstruction of neural circuity from 3d electron microscopy data show that these “Deep And Wide Multiscale Recursive” (DAWMR) networks lead to new levels of image labeling performance. The highest performing architecture

Article TDMA-Based Dual-Mode Communication for Mobile Wireless Sensor Networks

by Ankur Mehta, Branko Kerkez, Steven D. Glaser, Kristofer S. J. Pister , 2012
"... sensors ..."
Abstract - Add to MetaCart
Abstract not found

Routing and Broadcasting in Ad-Hoc Networks

by Der Philosophisch-naturwissenschaftlichen Fakultät, Der Universität Bern, Marc Heissenbüttel, Prof Dr, T. Braun, Der Philosophisch-naturwissenschaftlichen Fakultät, Der Universität Bern, Marc Heissenbüttel, Von Frutigen, Prof Dr, T. Braun
"... I would like to thank Prof. Dr. Torsten Braun, head of the Computer Network and Distributed Systems group (RVS), for supervising this work and for his insightful advises. Prof. Dr. Torsten Braun encouraged and motivated me to publish my research results and he provided me the opportunity to present ..."
Abstract - Add to MetaCart
group and of the IAM for our various interesting discussions about all kinds of topics and for making the institute a very pleasant and friendly place to work at. Special thanks go to David Steiner, Marc Steinemann, Matthias Scheidegger, Florian Baumgartner, Ruy De Oliveira, and Attila Weyland

Fusion of Learned Multi-Modal Representations and Dense Trajectories for Emotional Analysis in Videos

by Esra Acar , Frank Hopfgartner , Sahin Albayrak
"... Abstract-When designing a video affective content analysis algorithm, one of the most important steps is the selection of discriminative features for the effective representation of video segments. The majority of existing affective content analysis methods either use low-level audio-visual feature ..."
Abstract - Add to MetaCart
-visual features or generate handcrafted higher level representations based on these lowlevel features. We propose in this work to use deep learning methods, in particular convolutional neural networks (CNNs), in order to automatically learn and extract mid-level representations from raw data. To this end, we
Next 10 →
Results 1 - 10 of 217
Powered by: Apache Solr
  • About CiteSeerX
  • Submit and Index Documents
  • Privacy Policy
  • Help
  • Data
  • Source
  • Contact Us

Developed at and hosted by The College of Information Sciences and Technology

© 2007-2019 The Pennsylvania State University